code: def test_expand_dims(
      *, dtype_value, axis, test_flags, backend_fw, fn_name, on_device
  ):
      dtype, value = dtype_value
      try:
          helpers.test_function(
              input_dtypes=dtype,
              test_flags=test_flags,
              backend_to_test=backend_fw,
              fn_name=fn_name,
              on_device=on_device,
              x=value[0],
              axis=axis,
          )
      # ToDo: fix `get_axis`; `unique=True` does not always work
      except (ValueError, Exception) as e:
          if "repeated axis" in str(e):
              assume(False)
          raise e
  
imports: import numpy
  from hypothesis import strategies, assume
  import ivy
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_test
label_desc: Use image node_id 13 for calling a global function with example usage: test_expand_dims() without return types